An effective compensating approach to the synthesis of sparse array with element-failures

The Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) Algorithm is used to compensate the failure of sparse array element. A fitness function is introduced to restrict the error between pre-failed pattern and measured pattern. To minimize the function we have introduced CMA-ES algorithm. S...

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Vydané v:	2019 International Applied Computational Electromagnetics Society Symposium - China (ACES) Ročník 1; s. 1 - 2
Hlavní autori:	Qin, Anqi, Sheng, Yijun
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	Applied Computational Electromagnetics Society 01.08.2019
Predmet:	Adaptive arrays array failure compensation algorithm Arrays CMA-ES Covariance matrices failure of sparse array element Gaussian distribution Sociology
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